DocumentCode :
2757461
Title :
P300 wave feature extraction: preliminary results
Author :
Fazel-Rezai, R. ; Peters, J.F.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man.
fYear :
2005
fDate :
1-4 May 2005
Firstpage :
390
Lastpage :
393
Abstract :
Event related potentials (ERPs) are psychophysiological correlates of neurocognitive functioning that reflect the responses of the brain to changes (events) in the external or internal environment of the organism. ERPs have wide usage for clinical-diagnostic and research purposes. P300 is the most important and the most studied component of the ERP. In this paper, a new method for P300 wave feature extraction from electroencephalogram (EEG) signals is introduced. In this method Mexican hat wavelet coefficients were averaged over different scales. A simple classification method was used to demonstrate the robustness of the developed method to detect the P300 waves
Keywords :
cognition; electroencephalography; feature extraction; medical signal processing; signal classification; wavelet transforms; EEG signals; Mexican hat wavelet coefficients; P300 wave feature extraction; clinical-diagnostic; electroencephalogram signals; event related potentials; neurocognitive functioning; simple classification method; Brain computer interfaces; Computational intelligence; Electroencephalography; Enterprise resource planning; Feature extraction; Humans; Organisms; Psychology; Signal processing; Wavelet coefficients;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2005. Canadian Conference on
Conference_Location :
Saskatoon, Sask.
ISSN :
0840-7789
Print_ISBN :
0-7803-8885-2
Type :
conf
DOI :
10.1109/CCECE.2005.1556954
Filename :
1556954
Link To Document :
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